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Five Steps for Achieving Learning Analytics Success
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Five Steps for Achieving
(Learning) Analytics Success
Ellen D. Wagner Ph.D. Chief Research and Strategy Officer
PAR Framework
@edwsonoma [email protected]
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Common Definitions for Today
Data is informa*on, everywhere. It comes in all kinds and shapes and sizes. It’s not all digital, but most of it is. Analy(cs are methods and tools to parse streams of digital bits and bytes into meaningful pa>erns that can be explored to help stakeholders make more effec*ve decisions. Learning analy(cs are methods and tools needed to parse the stream of digital bits into meaningful pa>erns that explore dimensions of cogni*on, instruc*on and academic experience, including student success. Data-‐readiness ranges from essen*al individual knowledge and skills to ins*tu*onal capacity for crea*ng a culture that values evidence-‐based decision-‐making.
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DATA ARE CHANGING EVERYTHING
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Google Trends: Analytics
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Google Trends: Big Data
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h>p://bit.ly/1goTBmP
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1 Gigabyte = 1,024 Megabytes
1 Terabyte = 1,024 Gigabytes
1 Petabyte = 1,024 Terabytes
1 Exabyte = 1,024 Petabytes
1 Ze>abyte = 1,024 Exabytes
1 Yo>abyte = 1,024 Ze>abytes
1 ZB – 1,000,000,000,000,000,000,000 bytes
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h>p://bit.ly/1goTBmP
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h>p://bit.ly/1goTBmP
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h>p://bit.ly/1goTBmP
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Making Sense of All The Data
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Data Readiness in Higher Ed
Analy*cs have ramped up everyone’s expecta*ons of personaliza*on, accountability and transparency. Academic enterprises simply cannot live outside the ins*tu*onal focus on tangible, measurable results driving IT, finance, recruitment and other mission cri*cal concerns.
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While Big Data raise expectations, student data drive big decisions in .edu
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Costs and Completion Rates
Source: New York Times; NCES
0
10
20
30
40
50
60
70
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2-‐yr colleges 4-‐yr colleges
Gradua7on rates at 150% of 7me
Cohort year
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Performance Based Funding
h>p://www.ncsl.org/issues-‐research/educ/performance-‐funding.aspx
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Institutional Accountability
h>p://www.whitehouse.gov/issues/educa*on/higher-‐educa*on/college-‐score-‐card
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Google Trends: Learning Analytics
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Google Trends: Predictive Analytics
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What do we want? The RIGHT Answers!!
When do we want them? NOW!!
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The Predictive Analytics Reporting (PAR) Framework
• PAR is a na*onal, non-‐profit mul*-‐ins*tu*onal collabora*ve focused on ins*tu*onal effec*veness and student success.
• PAR is a “big data” analysis effort using predic7ve analy7cs to iden*fy drivers related to loss and momentum and to inform student loss preven7on
• PAR member ins*tu*ons voluntarily contribute de-‐iden7fied student records to create a single federated database.
• Descrip*ve, inferen*al and predic*ve analyses have been used to create benchmarks, ins*tu*onal predic7ve models and to map student success interven7ons to predictor behaviors
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Analysis/Modeling Process
• Analysis and model building is an itera7ve process
• Around 70-‐80% efforts are spent on data explora*on and understanding.
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Structured, Readily Available Data • Common data
defini*ons = reusable predic*ve models and meaningful comparisons.
• Openly published via a cc license @ h>ps://public.datacookbook.com/public/ins*tu*ons/par
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PAR Outputs Descrip7ve Benchmarks
Show how ins*tu*ons compare to their peers in student outcomes, by scaling a mul7-‐ins7tu7onal database for benchmarking and research purposes.
Predic7ve Models
Iden*fy which students need assistance, by using in-‐depth, ins7tu7onal specific predic7ve models. Models are unique to the needs and priori*es of our member ins*tu*ons based on their specific data.
Ins*tu*ons address areas of weakness iden*fied in benchmarks and models by scaling and leveraging a member, data and literature validated framework for examining interven*ons within and across ins*tu*ons (SSMx)
Interven7on Matrix
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Faculty
Student Success
IT
Academic Affairs
Enrollment Management
Financial Aid
Ins*tu*onal Research
PAR is redefining ins*tu*onal conversa*ons
Students
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5 Steps For Achieving (Learning) Analy*cs Success
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START WITH AN EYE ON YOUR OUTCOMES.
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BE CLEAR ABOUT WHAT YOU MEAN BY SUCCESS.
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COMMON DEFINITIONS ENABLE SHARED UNDERSTANDING.
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FOCUS ON INSIGHTS, NOT JUST ON DATA.
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SHARE YOUR WORK
With thanks to Jane Bozarth, 2014
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THANK YOU FOR YOUR INTEREST
For more informa*on about PAR please visit our website: h>p://parframework.org Ellen Wagner: Twi>er h>p://twi>er.com/edwsonoma Google+ edwsonoma On email [email protected]